Shiny, R and HTML: Merging Data Science and Web Development Training Course

Overview

Shiny is an open source R package that provides a web framework for building interactive web applications using R.

In this instructor-led, live training, participants will learn how to combine data science and web development using Shiny, R, and HTML.

By the end of this training, participants will be able to:

  • Build interactive web applications with R using Shiny

Audience

  • Data scientists
  • Web developers
  • Statisticians

Format of the course

  • Part lecture, part discussion, exercises and heavy hands-on practice

Requirements

  • Basic experience with R programming
  • Basic experience with HTML

Course Outline

Introduction

Understanding the Need to Merge Web Development and Data Science

Overview of Shiny

Overview of R

Overview of HTML

Understanding the Benefits of Using Shiny, R, and HTML Together

Installing and Setting Up the RStudio Platform

Installing the Shiny Package

Understanding and Working with the Basics of Shiny

Understanding and Working with the Basics of Reactive Programming

Creating and Running a Shiny Web Application: User Interface Component

Creating and Running a Shiny Web Application: Server Component

Creating a Plot in Shiny

Implementing Reactive Expression for Automatic Updating of Plots in Shiny

Understanding the Benefits and Implications of Reactive Plots for Data Science Applications

Customizing the Appearance of Your Apps Using Shiny’s Built-In Functions

Editing the User Interface Code in R to Perform HTML Customization

Summary and Conclusion

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